Conics with a Common Axis of Symmetry: Properties and Applications to Camera Calibration
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2079-1083.
Abstract
We focus on recovering the 2D Euclidean structure in one view from the projections of N parallel conics in this paper. This work denotes that the conic dual to the absolute points is the general form of the conic dual to the circular points, but it does not encode the Euclidean structure. Therefore, we have to recover the circular point-envelope to find out some useful information about the Euclidean structure, which relies on the fact that the line at infinity and the symmetric axis can be recovered. We provide a solution to recover the two lines and deduce the constraints for recovering the conic dual to the circular points, then apply them on the camera calibration. Our work relaxes the problem conditions and gives a more general framework than the past. Experiments with simulated and real data are carried out to show the validity of the proposed algorithm. Especially, our method is applied in the endoscope operation to calibrate the camera for tracking the surgical tools, that is the main interest-point we pay attention to.
@inproceedings{ijcai2011p347,
title = {Conics with a Common Axis of Symmetry: Properties and Applications to Camera Calibration},
author = {Zhao, Zijian},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {2079--1083},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-347},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-347},
}
TY - CPAPER TI - Conics with a Common Axis of Symmetry: Properties and Applications to Camera Calibration AU - Zhao, Zijian T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 2079 EP - 1083 DO - 10.5591/978-1-57735-516-8/IJCAI11-347 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-347 ER -Copied
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